Optimized Anonymity Updating in VANET Based on Information and Privacy Joint Metrics
Authors: 
Xu Han, Daxin Tian, Xuting Duan, Zhengguo Sheng, Yunpeng Wang, Victor C.M. LeungAuthors Info & Claims
Pages 63 - 69
Abstract
With the continuous development of the vehicular ad hoc network (VANET), many challenges related to network security have come one after another, among which privacy issues are particularly prominent. To help each network user decide when and where to protect their privacy, we suggest creating a user-centric privacy computing system in VANET. A risk assessment function and a set of decision weights are proposed to simulate the driver's decision-making intent in the vehicle network. Besides, proposed information and privacy joint metrics are used as the key indicators for dynamic selection of Mix-zone. Finally, by considering three influencing factors: maximum road capacity, user-centric quantitative privacy and attacker information measurement, defined mixzone creation mechanism to achieve privacy protection in VANET.
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Index Terms
- Optimized Anonymity Updating in VANET Based on Information and Privacy Joint Metrics
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Published In
October 2018
93 pages
ISBN:9781450359641
DOI:10.1145/3272036
- General Chair:
- Mirela M. A. Notare,
- Program Chairs:
- Peng Sun,
- Rodolfo W. L. Coutinho
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Published: 25 October 2018
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MSWIM '18: 21st ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems
October 28 - November 2, 2018
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